【摘要】 针对目前现有的湖泊富营养化模型的不足,以最大流原理为基础,以自组织特征映射神经网络(SOM)为算法实现手段,从复杂系统结构演化的角度提出了一个新的湖泊系统的富营养化模型;进而使用该模型对我国10个湖泊进行了富营养化评价并和以往的评价方法作了详细比较,结果表明该方法具有较好的合理性和可操作性。由于该模型从一定程度上体现了湖泊富营养化系统的演化动力学机理和湖泊系统时空演变特性,因此,不仅在评价上有较大的优越性,在湖泊富营养化发展变化状态的预测上也具有潜力。更多还原

【Abstract】 Taking account of the shortcomings of available eutrophication models for lake water quality,a novel mathematical model based on maximum flux principle is proposed,where the spatial structure of system is better considered than available methods.By invoking self-organization feature map(SOM),the new model can better represent the characters of eutrophication.The model is applied to ten typical lakes and the results show that the method is reasonable and practicable.It can also be used for the predictions of lake water eutrophication.更多还原